Artificial intelligence: the purpose of data mining
2. Post working outline (2%) Oct 5
Thesis: Data Mining is an useful tool for developing better products, precise information, and directed marketing.
Artificial Intelligence is the science of making machines do things that would require intelligence if done by man. (Lucci & Kopec, 2012)
The purpose of DM is to analyze and understand past trends and predict future trends. (Heberling, 2008)
First body paragraph: Data mining can improve the offer of products in web and real stores.
- Relating products
- Identifying groups of consumers
- Offering new products
- Customize the layout for each group
"The ability to track users’ browsing behaviour down to individual mouse clicks has brought the vendor and end customer closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at a massive scale." (Cooley & Deshpande, 2000)
Second body paragraph: This method can give better information about what users search
- Evaluating web sites
- Save user information and previous searches
- Google example
"Web usage mining provides detailed feedback on user behaviour, providing the Web site designer information on which to base redesign decisions." (Cooley & Deshpande, 2000)
Third body paragraph: Showing the users ads according to the information of them.
- Previous searches
- Ads according to user's need
- Stores best located to the user
3. Find keywords (1%) Oct 5
Artificial Intelligence, google hacking, robot, web, information, user behavior, data mining, search, improvement, performance, better results, consumer behavior, marketing
This article was published by the Istvan S. N. Berkeley. He is Phd in Philosophy, Adjunct Professor, The Center for Advanced Computer Studies, The University of Louisiana at Lafayette.
This article was published by the Professor Gary Heberling in the Pennsylvania State University website. It is an education website and the author is instructor of information sciences and technology in Penn University. This website contains some information about my topic, so it can help me to better understand the concepts of data mining.
I am going to use this article to mention the concept of Artificial Intelligence and to talk about the ways of applying it in our daily lives.
7. Write and edit your draft (90%) Oct 15-19
Before the creation of computers, scientists always wanted to create automatic machines in order to avoid only human work. Even years before the industry revolution, factory owners perceived that manual production did not have to continue in that same way. Then after the invention of computers and machines to replace the human production, the scientific focus changed to automatic thinking, making machine act and think such as a person and that was the big challenge. The first person to talk about computer intelligence was Alan Turing in 1950s after his death (Berkeley, 1997). The Artificial Intelligence itself was just born as a discipline in 1955, and nowadays is described as "the science of making machines do things that would require intelligence if done by man" (Lucci & Kopec, 2012). As a result of artificial intelligence fame and expansion, some sub-areas were also created. For example, neural networks, fuzzy logic, Bayesian network, knowledge discovery in databases (KDD); the last one has been an important method to advertisement and web companies (Google, Yahoo, Facebook, Microsoft, for example), the KDD has also been used as a way to extract every kind of information about users from the internet. The most important step of searching for data in the databases is known as Data Mining. About it, Gary Heberling said that “The purpose of DM [Data Mining] is to analyze and understand past trends and predict future trends” (Heberling, 2008). As it can be seen, Data Mining could be used as a useful tool to improve sales in business, and also to do direct marketing based on people's interests.
The offer of related products, in some business, could improve the number of sales because of possible new products to compliment the purchase. For instance, customers who buy a winter coat usually buy gloves, toque, boots... That mined information could provide "detailed feedback on user behavior, providing the Web site designer information on which to base redesign decisions." (Cooley & Deshpande, 2000). This new way of offering complementary products in time of buying is a shortcut to keep the user's attention in that specific environment. Many web stores have already perceived that accompanying consumption preferences would be an interesting opportunity to predict others customers' behaviors. For example, Youtube, Netflix, and iTunes offer different music and videos related to the previous searches of each user. Netflix, more specifically, does not show statistical numbers about the usage of its recommendation systems. However, in 2006, they started the Netflix Prize in order to improve in 10% their recommendation system (Amitrain & Basilico, 2012). The winner of the competition would win one million dollars for the algorithm. The importance of this systems is notably realized because of the moved efforts to improve the quality of recommendations. In addition, making the clients have contact, or know about other products of his/her interest may help the company improve the sales.
The second point about the usage of Data Mining is about applications that find user's profile to show advertisements. Have you realized that some kind of advertisements are usually about what you have been looking for in the last days? "The ability to track users’ browsing behavior down to individual mouse clicks has brought the vendor and end customer closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at a massive scale" (Cooley & Deshpande, 2000). It means that based on what the user was looking for a few days ago, the ads company is totally able to reach only specific groups of clients. The Google company, for example, in your support website, says: "when someone visits a partner website, we analyze the content of the page and site to show contextually relevant ads. We also use these page topics as well as data from third-party companies to associate interests with a visitor’s anonymous cookie ID, taking into account how often people visit sites of those categories, among other factors" (Google, 2012). That ID is essential for showing to the user only the necessary for him/her, and also to find types of consumer groups to the businesses that are interested in promoting themselves.
In conclusion, the usages of Data mining can provide ways of improve sales by helping to identify groups of people, or groups of related products. Even though the technology has only advanced, the creation of huge databases made that lots of not useful data have been produced. And the purpose of Data mining was to discover helpful information from that efficiently. For this reason, companies could help people to find related products to their purchase in trying to keep the consumer in the web environment. And the other point is that another the detailed information about the users could be essential to businesses that wish to affect only your clients with merchandising.
Summary:
many year ago, scientists were looking for something that could avoid human beings at working. Eventually, they creatived something that called 'Machine'. In addition they focus changed to automatic thinking, and making machine act as a real person. The first point is that this machine can use to related products in some business. The second idea is about the usage of Data Mining, and that could help the consumer to show advertisement by fill the application. In short, This machine has had good effect in our lives in this time, and also improve our live in better.
The mistake in the essay:
this essay has good main points and also supporting details. In addition , it has specific example that makes this essay good understanding. the only mistakes that I observer in the essay are run on sentences. The run on sentence in paragraphs 1,2,3,and 4.
The research project should have
an introduction, 3 to 4 main points, and one conclusion
at least 4 references: (2 web sources and 2 scholarly articles)
Basic requirements
Table of Contents
Steps to writing a research essay
1. Choose a topic (Oct 4)
2. Post working outline (2%) Oct 5
Artificial Intelligence is the science of making machines do things that would require intelligence if done by man. (Lucci & Kopec, 2012)
The purpose of DM is to analyze and understand past trends and predict future trends. (Heberling, 2008)
- Relating products
- Identifying groups of consumers
- Offering new products
- Customize the layout for each group
"The ability to track users’ browsing behaviour down to individual mouse clicks has brought the vendor and end customer closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at a massive scale." (Cooley & Deshpande, 2000)
- Evaluating web sites
- Save user information and previous searches
- Google example
"Web usage mining provides detailed feedback on user behaviour, providing the Web site designer information on which to base redesign decisions." (Cooley & Deshpande, 2000)
- Previous searches
- Ads according to user's need
- Stores best located to the user
3. Find keywords (1%) Oct 5
4. Find and evaluate 2-3 web sources (3%) Oct 9
- Berkeley, I. S. N. (1997). What is Artificial Intelligence. Retrieved from http://www.ucs.louisiana.edu/~isb9112/dept/phil341/wisai/WhatisAI.html
This article was published by the Istvan S. N. Berkeley. He is Phd in Philosophy, Adjunct Professor, The Center for Advanced Computer Studies, The University of Louisiana at Lafayette.This article was published by the Professor Gary Heberling in the Pennsylvania State University website. It is an education website and the author is instructor of information sciences and technology in Penn University. This website contains some information about my topic, so it can help me to better understand the concepts of data mining.
- Amatriain, X., & Basilico, J. (2012). NetFlix Recommendation: Beyond the 5 stars (part 1). Retrieved from http://techblog.netflix.com/2012/04/netflix-recommendations-beyond-5-stars.html
This article was written by two NetFlix IT workers. The blog was created to show the public some details about the technology used by Netflix company.- Google Company. (2012). AdWords help. Retrieved from http://support.google.com/adwords/bin/answer.py?hl=en&answer=2497941
This Web site is supported by Google in order to provide some information to their customers that may use their AdWords service.5. Find 2 academic sources from Google Scholar (2%) Oct 10
This article is going to help me to show the idea of the usage of artificial intelligence in the web business.
I am going to use this article to mention the concept of Artificial Intelligence and to talk about the ways of applying it in our daily lives.
7. Write and edit your draft (90%) Oct 15-19
Before the creation of computers, scientists always wanted to create automatic machines in order to avoid only human work. Even years before the industry revolution, factory owners perceived that manual production did not have to continue in that same way. Then after the invention of computers and machines to replace the human production, the scientific focus changed to automatic thinking, making machine act and think such as a person and that was the big challenge. The first person to talk about computer intelligence was Alan Turing in 1950s after his death (Berkeley, 1997). The Artificial Intelligence itself was just born as a discipline in 1955, and nowadays is described as "the science of making machines do things that would require intelligence if done by man" (Lucci & Kopec, 2012). As a result of artificial intelligence fame and expansion, some sub-areas were also created. For example, neural networks, fuzzy logic, Bayesian network, knowledge discovery in databases (KDD); the last one has been an important method to advertisement and web companies (Google, Yahoo, Facebook, Microsoft, for example), the KDD has also been used as a way to extract every kind of information about users from the internet. The most important step of searching for data in the databases is known as Data Mining. About it, Gary Heberling said that “The purpose of DM [Data Mining] is to analyze and understand past trends and predict future trends” (Heberling, 2008). As it can be seen, Data Mining could be used as a useful tool to improve sales in business, and also to do direct marketing based on people's interests.
The offer of related products, in some business, could improve the number of sales because of possible new products to compliment the purchase. For instance, customers who buy a winter coat usually buy gloves, toque, boots... That mined information could provide "detailed feedback on user behavior, providing the Web site designer information on which to base redesign decisions." (Cooley & Deshpande, 2000). This new way of offering complementary products in time of buying is a shortcut to keep the user's attention in that specific environment. Many web stores have already perceived that accompanying consumption preferences would be an interesting opportunity to predict others customers' behaviors. For example, Youtube, Netflix, and iTunes offer different music and videos related to the previous searches of each user. Netflix, more specifically, does not show statistical numbers about the usage of its recommendation systems. However, in 2006, they started the Netflix Prize in order to improve in 10% their recommendation system (Amitrain & Basilico, 2012). The winner of the competition would win one million dollars for the algorithm. The importance of this systems is notably realized because of the moved efforts to improve the quality of recommendations. In addition, making the clients have contact, or know about other products of his/her interest may help the company improve the sales.
The second point about the usage of Data Mining is about applications that find user's profile to show advertisements. Have you realized that some kind of advertisements are usually about what you have been looking for in the last days? "The ability to track users’ browsing behavior down to individual mouse clicks has brought the vendor and end customer closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at a massive scale" (Cooley & Deshpande, 2000). It means that based on what the user was looking for a few days ago, the ads company is totally able to reach only specific groups of clients. The Google company, for example, in your support website, says: "when someone visits a partner website, we analyze the content of the page and site to show contextually relevant ads. We also use these page topics as well as data from third-party companies to associate interests with a visitor’s anonymous cookie ID, taking into account how often people visit sites of those categories, among other factors" (Google, 2012). That ID is essential for showing to the user only the necessary for him/her, and also to find types of consumer groups to the businesses that are interested in promoting themselves.
In conclusion, the usages of Data mining can provide ways of improve sales by helping to identify groups of people, or groups of related products. Even though the technology has only advanced, the creation of huge databases made that lots of not useful data have been produced. And the purpose of Data mining was to discover helpful information from that efficiently. For this reason, companies could help people to find related products to their purchase in trying to keep the consumer in the web environment. And the other point is that another the detailed information about the users could be essential to businesses that wish to affect only your clients with merchandising.
Summary:
many year ago, scientists were looking for something that could avoid human beings at working. Eventually, they creatived something that called 'Machine'. In addition they focus changed to automatic thinking, and making machine act as a real person. The first point is that this machine can use to related products in some business. The second idea is about the usage of Data Mining, and that could help the consumer to show advertisement by fill the application. In short, This machine has had good effect in our lives in this time, and also improve our live in better.
The mistake in the essay:
this essay has good main points and also supporting details. In addition , it has specific example that makes this essay good understanding. the only mistakes that I observer in the essay are run on sentences. The run on sentence in paragraphs 1,2,3,and 4.